Comparison of Several Spectral Estimation Methods

نویسندگان

  • A. Karakasiliotis
  • P. Frangos
چکیده

During the last decade, several spectral estimation techniques have been proposed for application to SAR/ISAR imaging. The present study attempts to shed light to a number of parametric spectral estimation methods, employed for ISAR imaging of aircraft targets. We focus on performance comparison with respect to 1-D and 2-D image resolution. Auto-regressive methods and MUSIC algorithm are examined and simulated, based on synthetic radar data, for both 1-D (range profiles) and 2-D (ISAR images) cases.

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تاریخ انتشار 2004